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New method for global exponential synchronization of multi-link memristive neural networks with three kinds of time-varying delays

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  • Hua, Wentao
  • Wang, Yantao
  • Liu, Chunyan

Abstract

In this paper, a new direct method based on system solutions is proposed to give global exponential synchronization analysis of multi-link memristive neural networks. The network dynamics are affected by time-varying distribution, leakage and transmission delays, simultaneously. Based on the definition of synchronization, sufficient conditions to ensure the synchronization of multi-link memristive neural networks are investigated, and thereby, a new controller is proposed. Compared with other controllers, the controller design method proposed in this paper is relatively simple, and avoids the construction of Lyapunov–Krasovskii functionals, which greatly reduces the workload. Finally, numerical simulations are given to check the effectiveness of this method.

Suggested Citation

  • Hua, Wentao & Wang, Yantao & Liu, Chunyan, 2024. "New method for global exponential synchronization of multi-link memristive neural networks with three kinds of time-varying delays," Applied Mathematics and Computation, Elsevier, vol. 471(C).
    • Handle: RePEc:eee:apmaco:v:471:y:2024:i:c:s0096300324000651
    DOI: 10.1016/j.amc.2024.128593
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    References listed on IDEAS

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    Cited by:

    1. Tang, Zeshen & Liu, Xiwei, 2024. "Synchronization of directly coupled complex networks with multiweights and multiple delays," Chaos, Solitons & Fractals, Elsevier, vol. 188(C).

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